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SKILL verified MIT Self-run

Challenge

skill-digital-stoic-org-agent-skills-challenge · by digital-stoic-org

Challenge, push back, play devil's advocate on AI output. Use when: challenge this, are you sure, push back, prove it, what if you're wrong, devil's advocate, stress test, poke holes, second opinion, sanity check, too confident, really?, question this decision. Subcommands: anchor (committed too fast), verify (facts wrong?), framing (wrong problem?), deep (full devil's advocate in separate contex…

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Install

$ agentstack add skill-digital-stoic-org-agent-skills-challenge

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

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About

Challenge

Apply structured provocation patterns to force reconsideration of current work.

Target: $ARGUMENTS

⚠️ AskUserQuestion Guard

CRITICAL: After EVERY AskUserQuestion call, check if answers are empty/blank. Known Claude Code bug: outside Plan Mode, AskUserQuestion silently returns empty answers without showing UI.

If answers are empty: DO NOT proceed with assumptions. Instead:

  1. Output: "⚠️ Questions didn't display (known Claude Code bug outside Plan Mode)."
  2. Present the options as a numbered text list and ask user to reply with their choice number.
  3. WAIT for user reply before continuing.

Dispatch

Parse first word of $ARGUMENTS as subcommand:

| Subcommand | Error Type | Protocol | |---|---|---| | anchor | Premature commitment / anchoring bias | Read protocols/anchor.md → execute | | verify | Factual errors / hallucination | Read protocols/verify.md → execute | | framing | Wrong problem / framing errors | Read protocols/framing.md → execute | | deep | High stakes — all 9 patterns in fresh context | Spawn devil-advocate sub-agent via Agent |

No-Subcommand Fallback

If no subcommand detected:

AskUserQuestion: "What are you worried about with the current AI response?"

  • A) Anchoring bias — AI committed too early to one approach
  • B) Factual accuracy — claims may be wrong or hallucinated
  • C) Wrong framing — solving the wrong problem
  • D) High stakes — want all 9 patterns in fresh context (Devil's Advocate)

→ Dispatch to matching subcommand based on answer.

Deep Subcommand

Spawn via Agent tool:

  • subagent_type: dstoic:devil-advocate:devil-advocate
  • prompt: target description + relevant file paths to read
  • The agent runs ALL 9 patterns (anchor: Gatekeeper, Reset, Alt Approaches, Pre-mortem · verify: Proof Demand, CoVe, Fact Check List · framing: Socratic, Steelman) comprehensively in fresh context
  • DO NOT pass parent conversation reasoning — fresh context is the point

Thinking Transparency (applies to all subcommands)

For every finding, make reasoning explicit:

  1. Observation: What specifically in the target triggered this finding
  2. Technique family: Which challenge family (anchor/verify/framing) and named pattern (e.g., Gatekeeper, CoVe, Steelman) — cite mechanism from reference.md pattern catalog
  3. Reasoning: Why this observation matters — what cognitive bias or error it reveals
  4. Confidence: How certain is this finding (High/Medium/Low) and what evidence supports that rating

Output

All subcommands produce a Challenge Report (structured, not prose). See reference.md for report format and pattern catalog.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.